Data Engineering ( End to End )
About This Course
Why Take This Course?
Data is the driving force behind modern business, and Data Engineers play a pivotal role in building the infrastructure that powers analytics and decision-making. As companies increasingly shift to cloud platforms and real-time processing, the demand for skilled data engineers is surging.
This course offers a comprehensive, hands-on approach to mastering data pipelines, cloud platforms, and real-time streaming tools like Kafka and Snowflake. Whether you are just starting your journey or already have some technical knowledge, this course equips you with job-ready skills that are essential in the industry.
Who Is This Course For?
- Beginners and Career Switchers: Transition smoothly into data engineering roles by mastering Python, SQL, and AWS basics.
- Data Analysts or Developers: Build on your existing programming knowledge to learn data pipelines and cloud integration.
- IT and Cloud Professionals: Gain specialized skills in Snowflake, AWS Lambda, and Kafka streaming for advanced data solutions.
- Aspiring Data Engineers: Prepare for real-world roles by building functional batch and real-time pipelines.
Why Choose This Course?
- Comprehensive Curriculum: Covers everything from Python basics to real-time data pipelines with Kafka and AWS.
- Hands-On Projects: Gain practical experience through intermediate and capstone projects.
- Certification Preparation: Get ready for Snowflake and AWS certifications.
- Job-Ready Skills: Learn to build scalable pipelines and automate workflows using modern tools.
- Career Support: Access mock interviews, resume reviews, and job search strategies.
Curriculum
14 Lessons
1.Python, SQL, and AWS Basics (15 Hours)
Outcome:
Students will be familiar with Python, SQL, and AWS basics, providing the foundation for working with data.
Python Foundations (5 Hours)00:00
SQL Basics with Snowflake (5 Hours)00:00
AWS/Azure Cloud Basics (5 Hours)00:00
2.Advanced SQL and Python Automation with AWS (10 Hours)
Outcome:
Students will gain advanced SQL skills and automate workflows using AWS Lambda and Python.
3.Data Warehousing with Snowflake and ELT with dbt (20 Hours)
Students will be proficient in data warehousing with Snowflake and use dbt for building ELT pipelines.
Real-Time Data Pipelines with Kafka + AWS (10 Hours)
Outcome:
Students will gain hands-on experience with Kafka and AWS Lambda for real-time streaming.
5.Intermediate Project – Batch Pipeline with dbt and Snowflake (10 Hours)
6.Capstone Project + Job Preparation (5 Hours)
Your Instructors
